Results 131 to 140 of about 1,633,656 (346)
Materials and System Design for Self‐Decision Bioelectronic Systems
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng +9 more
wiley +1 more source
Motor disability is a critical impairment in stroke patients. Rehabilitation has a limited effect on recovery; but there is no medical therapy for post-stroke recovery. The biological mechanisms of rehabilitation in the brain remain unknown.
Naohiko Okabe +15 more
doaj +1 more source
The evidence-base for stroke education in care homes [PDF]
<b>Summary.</b> <b>Research questions:</b> 1. What are registered care home nurses’ educational priorities regarding stroke care? 2. What are senior care home assistants’ educational priorities regarding stroke care? 3. How do
Craig, L.E. +3 more
core +1 more source
Respiratory Signal Processing and Analysis Using Flexible Capacitive Sensor Data
Capacitive pressure sensors based on poly(glycerol sebacate) (PGS) substrates are developed for continuous, non‐invasive respiratory monitoring. Integrated with a signal processing algorithm, they enable accurate tracking of thoracic expansion and retraction.
Bernardo A. Vicente +3 more
wiley +1 more source
Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
wiley +1 more source
A Statistical Model for Stroke Outcome Prediction and Treatment Planning
Stroke is a major cause of mortality and long--term disability in the world. Predictive outcome models in stroke are valuable for personalized treatment, rehabilitation planning and in controlled clinical trials.
Bhattacharya, Sakyajit +3 more
core +1 more source
Action for Rehabilitation from Neurological Injury (ARNI): A pragmatic study of functional training for stroke survivors [PDF]
This article has been made available through the Brunel Open Access Publishing Fund. Copyright @ 2013 Cherry Kilbride et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use ...
Kilbride, C +3 more
core +2 more sources
Repeated use of brain-computer interfaces (BCIs) providing contingent sensory feedback of brain activity was recently proposed as a rehabilitation approach to restore motor function after stroke or spinal cord lesions.
A. Frolov +7 more
semanticscholar +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Introduction: Stroke is the primary contributor to disability worldwide, causing a high economic burden due to its morbidity. Due to the application of artificial intelligence (AI), stroke rehabilitation has been revolutionized, resulting in significant ...
Tivano Antoni +2 more
doaj +1 more source

